Researchers have introduced Hooded Seal optimization, a swarm-based evolutionary metaheuristic that outperformed or matched ...

Conventional quantum algorithms are not feasible for solving combinatorial optimization problems (COPs) with constraints in the operation time of quantum computers. To address this issue, researchers ...

A parallel hybrid algorithm combining sine cosine and tabu search improves mobile robot path planning performance by up to ...

Researchers test machine learning and genetic algorithms to improve solutions to the quadratic multidimensional knapsack ...

Computer-generated holography (CGH) provides an approach to digitally modulate a given wavefront. This technology, partly inherited from optical holography and partly advanced by the progress of ...

OpenAI claims to disprove the Exponential Time Hypothesis with a new algorithm showing subexponential performance for the ...

The traveling salesman problem is considered a prime example of a combinatorial optimization problem. Now a Berlin team led by theoretical physicist Prof. Dr. Jens Eisert of Freie Universität Berlin ...

Imagine designing a better battery, discovering a new medicine, or developing a material that ...

Prabhu Krishnaswamy bridges enterprise data engineering experience and academic research through his work on co-optimising algorithms and semiconductor architectures for efficient AI acceleration.